Researchers leveraged deep reinforcement learning (DRL) to enable a robot to adaptively switch gaits, mimicking animal movements like trotting and pronking, to traverse complex terrains effectively. Their study explores the concept of viability—or fall prevention—as a primary motivator for such gait transitions, challenging previous beliefs that energy efficiency is the key driver.
Robots vs. Animals: Who Wins the Race in Natural Settings?
Researchers explored whether modern robots can outpace biological organisms in speed and agility. The study concludes that despite advances in engineering, animals still surpass robots in locomotive efficiency in natural settings.
Tiny Robotic Nerve Cuffs Promise Breakthrough in Neurocare
Researchers developed innovative, flexible devices that can gently wrap around nerve fibers, potentially transforming the diagnosis and treatment of neurological disorders. These tiny, flexible “nerve cuffs” employ soft robotics and flexible electronics to interface with peripheral nerves without causing damage.